1 — CS2 Stats

76561199353857912[U:1:1393592184]✓ No bans

667Tracked matches34%Win rate2023Tracked since
CSDB Rating3.6 Learning
Premier CS Rating8,853Light Blue band · top ~60.4% of ranked players (population est.)
CSDB Leaderboard#25026 of 33797 tracked
Ladder ranks via Leetify

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CSDB.GG1PREMIER8,853 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning45
Utility61

0–100 skill scores via Leetify.

Recent form

COLD38611Last 10038%Win rateWLLLWLLLWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim4.6
Aggression5.6
Utility6.1
Positioning4.5
Opening Duels1.3

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 45% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.6
Positioning4.5
Utility6.1
Mechanics4.2
Opening Duels1.8
Win Impact0.0

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time634ms−2ms
first ⅓ avg 636ms → last ⅓ avg 634ms
Headshot accuracy17.6%+5.2%
first ⅓ avg 12.5% → last ⅓ avg 17.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.10Best rating — mirage 13–2
132Biggest win — dust2
3Longest win streak
1010In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 50% over 18infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C2491538%-0.02
mirageB189950%0.00
ancientC145936%-0.01
infernoD1441029%-0.01
cacheD134931%-0.00
nukeC114736%-0.03
anubisB63350%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.1%Headshot accuracy
30.0%Accuracy (enemy spotted)
32.0%Spray accuracy
68.7%Counter-strafing
9.5°Preaim
645msReaction time
25.8%T opening success
44.7%CT opening success
0.71Enemies flashed / flash
4.0%Flash assists
8.44HE damage / grenade
15.05Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.7539% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–110.0321%28 Aug
mirage9–13-0.0117%25 Aug
dust29–13-0.0421%18 Aug
ancient9–13-0.0319%18 Aug
dust213–7-0.0127%18 Aug
inferno0–9-0.130%12 Aug
mirage11–130.0316%6 Aug
dust26–13-0.0425%3 Aug
ancient13–60.0316%3 Aug
dust25–130.0324%2 Aug
dust25–13-0.0142%2 Aug
ancient10–13-0.0519%2 Aug
inferno8–130.0712%2 Aug
inferno12–12-0.0324%2 Aug
cache7–130.0324%2 Aug
ancient9–13-0.0410%2 Aug
inferno13–10-0.0111%2 Aug
anubis13–6-0.0121%1 Aug
dust213–9-0.0120%1 Aug
dust22–8-0.038%30 Jul
cache13–80.0715%30 Jul
inferno11–13-0.0314%30 Jul
inferno13–100.0117%29 Jul
mirage16–130.019%29 Jul
mirage13–4-0.043%28 Jul
mirage8–13-0.0616%28 Jul
nuke11–13-0.0423%28 Jul
nuke9–13-0.0321%28 Jul
cache9–13-0.0613%27 Jul
inferno10–130.0521%27 Jul
nuke8–13-0.0118%27 Jul
anubis13–16-0.0218%27 Jul
mirage13–110.0718%27 Jul
ancient5–13-0.074%26 Jul
nuke11–13-0.0515%26 Jul
nuke8–13-0.056%25 Jul
dust213–2-0.0114%24 Jul
ancient3–130.067%22 Jul
mirage10–13-0.0417%22 Jul
mirage2–13-0.0417%22 Jul
dust214–16-0.0223%22 Jul
anubis5–13-0.066%21 Jul
dust212–160.0113%21 Jul
dust211–130.0427%21 Jul
inferno8–13-0.025%21 Jul
mirage13–30.0417%21 Jul
anubis6–13-0.126%21 Jul
inferno8–13-0.0221%21 Jul
ancient13–11-0.056%21 Jul
cache10–13-0.0111%20 Jul
inferno13–90.004%20 Jul
cache10–130.0314%20 Jul
dust24–13-0.0624%20 Jul
anubis13–7-0.0419%20 Jul
inferno8–30.0015%20 Jul
ancient13–30.046%20 Jul
mirage11–13-0.0311%20 Jul
ancient13–60.0514%19 Jul
ancient13–90.0625%19 Jul
ancient9–13-0.0613%19 Jul
cache5–13-0.104%19 Jul
dust213–10-0.0815%19 Jul
dust213–80.0516%19 Jul
nuke5–13-0.0316%19 Jul
nuke13–110.026%18 Jul
nuke13–110.0011%18 Jul
dust25–13-0.0514%18 Jul
ancient8–13-0.0110%18 Jul
ancient10–13-0.078%18 Jul
dust213–40.0125%18 Jul
nuke11–13-0.059%18 Jul
cache10–130.018%17 Jul
ancient6–13-0.0717%17 Jul
mirage13–80.058%17 Jul
dust24–13-0.063%17 Jul
inferno9–13-0.043%17 Jul
dust214–16-0.029%17 Jul
mirage7–13-0.0423%16 Jul
cache13–60.0311%16 Jul
dust213–3-0.0110%16 Jul
dust213–11-0.0317%16 Jul
cache1–130.008%16 Jul
nuke13–12-0.056%15 Jul
dust21–13-0.0415%15 Jul
cache8–13-0.027%15 Jul
dust213–7-0.0219%15 Jul
cache16–140.0316%15 Jul
cache5–13-0.0514%14 Jul
mirage7–130.0017%14 Jul
mirage11–130.0214%14 Jul
dust28–13-0.0317%14 Jul
dust25–13-0.012%14 Jul
cache13–60.0010%14 Jul
inferno13–160.0310%14 Jul
mirage13–20.106%14 Jul
mirage13–80.016%14 Jul
mirage16–140.0818%14 Jul
inferno12–16-0.024%14 Jul
nuke13–7-0.0344%13 Jul
mirage13–11-0.0517%13 Jul

Match data via Leetify.

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →